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《Guangdong Electric Power》 2013-12
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Short-time Wind Speed Combined Prediction Method Based on Evolutional and Harmony Search Optimization

WANG Hongsen;PENG Xiangang;Faculty of Automation,Guangdong University of Technology;  
Aiming at characteristics of unsteady changing wind speed sequence,this paper firstly studies method of decomposing original wind speed sequence into a series of comparatively steady subsequence by using empirical mode decomposition method.Then by making use of support vector regression model,it discusses prediction on each subsequence respectively.For overcoming disadvantage of selecting learning parameters by means of SVR model,it introduces survival of the fittest thinking of evolutional theory in harmony search optimization algorithm and proposes to use evolutional harmony search algorithm to realize parameter optimizing for each SVR model.The example study indicates that EHS algorithm is provided with merits of strong global search ability and rapid convergence rate.In addition,the proposed EHS-EMD-SVR algorithm is effective in improving veracity of predicting short-time wind speed.
【Fund】: 广东省自然科学基金资助项目(10151009001000045)
【CateGory Index】: TM614
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【Citations】
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